A gas leak prediction system based on indoor safety

Abstract

The present invention relates to the field of Internet of Things technology and home safety prevention technology, and discloses a gas leakage prediction system based on indoor safety, comprising a data acquisition module, a data processing module, a prediction module and an alarm module. When the index value calculated in the data processing module is not within the prediction range, the prediction module will not only perform self-inspection on the detection instrument, but also trigger the alarm module to issue an alarm, so as to promptly remind users and relevant personnel to take emergency leakage prevention measures. The alarm issued by the alarm module will prompt maintenance personnel to perform secondary maintenance on the detection instrument, which can further confirm the fault condition of the instrument. Combining the above operations, the design and implementation of the gas safety system not only improves the monitoring capability of the safety hazard of gas leakage, but also strengthens the emergency management and response speed through the intelligent data processing and early warning mechanism, thereby effectively ensuring public safety and social stability.

Description

Technical Field

[0001] The present invention relates to the field of Internet of Things technology and home safety and prevention technology, and in particular to a gas leakage prediction system based on indoor safety. Background Art

[0002] With the development of Internet of Things technology, a smart gas Internet of Things system based on the indoor gas equipment sensor network platform has been proposed to achieve more efficient and accurate gas leak prediction and monitoring. This system can improve the accuracy of gas leak prediction by obtaining data from gas detection equipment and combining it with analysis by the smart gas data center.

[0003] Although the existing technology of indoor gas leak prediction system has improved the level of indoor gas safety to a certain extent, it still needs to be improved and optimized in data processing and emergency response. Through continuous technological innovation and social education, the performance of gas leak prediction system can be further improved to ensure indoor safety. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides a gas leak prediction system based on indoor safety, which has the advantages of accurate data processing and rapid emergency response, and solves the problems of data processing and emergency response.

[0006] (II) Technical solution

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solution: comprising a data acquisition module, a data processing module, a prediction module and an alarm module;

[0008] The data acquisition module includes a gas leakage unit, a gas meter unit and a temperature and humidity sensor unit; the gas leakage unit is connected to the gas leakage monitoring device through the network to collect the gas leakage data set, and transmits it to the data processing module after numbering, the gas meter unit is connected to the gas pipeline monitoring camera through the network to collect the gas meter data set, and transmits it to the data processing module after numbering, the temperature and humidity sensor unit is connected to the temperature and humidity sensor through the network to collect the temperature and humidity data set, and transmits it to the data processing module after numbering, and the data acquisition module is connected to the data processing module through the network;

[0009] The data processing module includes a temperature and humidity sensor monitoring unit and a gas leakage monitoring unit. The temperature and humidity sensor monitoring unit calculates and generates a temperature and humidity deviation coefficient Yx according to a temperature and humidity data set. The gas leakage monitoring unit calculates and generates a gas pipeline combustible gas leakage index Mil and a gas pipeline non-combustible gas leakage index Mil1 according to a gas leakage data set, a gas meter data set and a temperature and humidity deviation coefficient Yx. The gas leakage monitoring unit calculates and generates a detection instrument failure rate Er according to a gas leakage data set and a gas meter data set. The data processing module is connected to a prediction module through a network.

[0010] The prediction module performs regular maintenance on the detection instrument according to the classification of the combustible gas leakage index Mil of the gas pipeline, the non-combustible gas leakage index Mil1 of the gas pipeline and the failure rate Er of the detection instrument. The prediction module is connected to the alarm module through a network;

[0011] The alarm module determines the leakage location according to the exceeding range of the combustible gas leakage index Mil of the gas pipeline and the non-combustible gas leakage index Mil1 of the gas pipeline, and activates the alarm device at the leakage location.

[0012] Preferably, the gas leakage unit numbers the combustible gas leakage data set and the non-combustible gas leakage data set according to the characteristics of the gas leakage data set, and the combustible gas leakage data set is numbered as Iy1, Iy2, Iy3, ... Iy n , the non-combustible gas leakage data sets are numbered Ix1, Ix2, Ix3, ...Ix n .

[0013] Preferably, the gas meter unit numbers the normal gas data set, the faulty gas data set and the gas meter fault state set according to the characteristics of the gas meter data set, and the normal gas data set is numbered as Qa1, Qa2, Qa3, ... Qa n , the faulty gas data sets are numbered Qb1, Qb2, Qb3, ... Qb n The gas meter fault state set number is Qc1, Qc2, Qc3, ... Qc n .

[0014] Preferably, the temperature and humidity sensor unit numbers the actual humidity, actual temperature, specified humidity and specified temperature according to the characteristics of the temperature and humidity data set, the actual humidity is numbered W, the actual temperature is numbered T, the specified humidity is numbered W1, and the specified temperature is numbered T1.

[0015] Preferably, the temperature and humidity deviation coefficient Yx is calculated based on the temperature and humidity data set, and its calculation formula is:

[0016]

[0017] In the formula, Yx represents the temperature and humidity deviation coefficient, W represents the actual humidity, T represents the actual temperature, W1 represents the specified humidity, and T1 represents the specified temperature. and & respectively represent humidity and temperature in The weight of the medium.

[0018] Preferably, the gas pipeline combustible gas leakage index Mil is calculated based on the gas leakage data set, the gas meter data set and the temperature and humidity deviation coefficient Yx, and its calculation formula is:

[0019]

[0020] In the formula, Mil represents the combustible gas leakage index of the gas pipeline, Yx represents the temperature and humidity deviation coefficient, Iy1, Iy2, Iy3, ... Iy n Represents the combustible gas leakage data set, Qb1, Qb2, Qb3, ... Qb n Represents the faulty gas data set, Qc1, Qc2, Qc3, ...Qc n Represents the gas meter fault status set, and n represents the statistical time period.

[0021] Preferably, the gas pipeline non-combustible gas leakage index Mil1 is calculated based on the gas leakage data set, the gas meter data set and the temperature and humidity deviation coefficient Yx, and its calculation formula is:

[0022]

[0023] In the formula, Mil1 represents the non-combustible gas leakage index of the gas pipeline, Yx represents the temperature and humidity deviation coefficient, Ix1, Ix2, Ix3, ...Ix n Represents the non-combustible gas leakage data set, Qb1, Qb2, Qb3, ... Qb n Represents the faulty gas data set, Qc1, Qc2, Qc3, ...Qc n Represents the gas meter fault status set, and n represents the statistical time period.

[0024] Preferably, the detection instrument failure rate Er is calculated based on the gas leakage data set and the gas meter data set, and its calculation formula is:

[0025]

[0026] In the formula, Er represents the failure rate of the detection instrument, Iy1, Iy2, Iy3, ... Iy n Represents the combustible gas leakage data set, Ix1, Ix2, Ix3, ...Ix n Represents the non-combustible gas leakage data set, Qa1, Qa2, Qa3, ... Qan Represents a normal gas data set, Qb1, Qb2, Qb3, ...Qb n Represents the faulty gas data set, Qc1, Qc2, Qc3, ...Qc n Represents the gas meter fault status set, and n represents the statistical time period.

[0027] Preferably, when the combustible gas leakage index Mil>0.01 of the gas pipeline and the non-combustible gas leakage index Mil1>0.5 of the gas pipeline, the prediction module starts the full pipeline self-inspection mode; when the combustible gas leakage index Mil>0.05 and the non-combustible gas leakage index Mil1>0.6 of the gas pipeline, the prediction module starts the full pipeline self-inspection mode and starts the troubleshooting mode at the same time. The prediction module transmits the self-inspection information to the early warning module through the network. The early warning module triggers the beeping device according to the exceeding range and calls relevant personnel to repair the leaking pipeline.

[0028] Preferably, when the failure rate of the detection instrument Er<0.9, the prediction module performs a self-check on the detection instrument. If the failure rate of the detection instrument Er>0.9, the prediction module performs a self-check on the detection instrument and triggers the alarm module to sound an alarm, prompting maintenance personnel to perform secondary maintenance on the detection instrument.

[0029] Compared with the prior art, the present invention provides a gas leakage prediction system based on indoor safety, which has the following beneficial effects:

[0030] 1. When the combustible gas leakage index in the gas pipeline exceeds 0.01, or the non-combustible gas leakage index exceeds 0.5, the prediction module will start the full pipeline self-check mode. In this mode, the system will carefully check the entire pipeline network to determine the specific location and extent of the leakage. When the combustible gas leakage index in the gas pipeline exceeds 0.05, or the non-combustible gas leakage index exceeds 0.6, the prediction module will not only continue to perform full pipeline self-check, but also start the troubleshooting mode at the same time. In this mode, the system will analyze the data more deeply and try to find the cause of the leakage so as to take more targeted measures. In the process of self-checking and troubleshooting, the prediction module will transmit the relevant information to the network through the network. Early warning module. During this process, data communication uses encryption or other security measures to ensure the accuracy and security of information. The early warning module triggers the chiming device to sound an alarm based on the received information of exceeding the standard range. This sound and light alarm can quickly remind users and relevant personnel so that they can take emergency measures in time, such as closing gas valves, ventilating and exhausting, and evacuating personnel to prevent the situation from further deteriorating. In addition, the early warning module can automatically notify maintenance services and call relevant personnel to repair the leaking pipeline, which helps to shorten the response time and ensure that the problem can be solved quickly. In summary, through real-time monitoring and intelligent analysis, the gas safety system can effectively prevent and respond to gas leakage accidents and ensure family and public safety.

[0031] 2. In the present invention, when the failure rate of the detection instrument is lower than 0.9, the prediction module will automatically perform self-inspection on the detection instrument to ensure its accuracy and reliability. This self-inspection function helps to discover potential problems in time and avoid erroneous detection results caused by instrument failure. When the failure rate of the detection instrument exceeds 0.9, in this case, the prediction module will not only perform self-inspection on the detection instrument, but also trigger the alarm module to issue an alarm. This design is intended to promptly remind users and relevant personnel so that emergency measures can be taken. The alarm issued by the alarm module will prompt maintenance personnel to perform secondary maintenance on the detection instrument. This step is to further confirm the failure of the instrument and take corresponding maintenance measures. During the inspection process, the maintenance personnel use professional tools and techniques to conduct comprehensive inspection and repair of the instrument. Combining the above operations, the design and implementation of the gas safety system not only improves the monitoring capability of gas leakage safety hazards, but also strengthens emergency management and response speed through intelligent data processing and early warning mechanisms, thereby effectively ensuring public safety and social stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a schematic diagram of the structure of the present invention; DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] See also Figure 1 , including data acquisition module, data processing module, prediction module and alarm module;

[0035] The data acquisition module includes a gas leakage unit, a gas meter unit and a temperature and humidity sensor unit; the gas leakage unit is connected to the gas leakage monitoring device through the network to collect the gas leakage data set, and transmits it to the data processing module after numbering, the gas meter unit is connected to the gas pipeline monitoring camera through the network to collect the gas meter data set, and transmits it to the data processing module after numbering, the temperature and humidity sensor unit is connected to the temperature and humidity sensor through the network to collect the temperature and humidity data set, and transmits it to the data processing module after numbering, and the data acquisition module is connected to the data processing module through the network;

[0036] The data processing module includes a temperature and humidity sensor monitoring unit and a gas leakage monitoring unit. The temperature and humidity sensor monitoring unit calculates and generates a temperature and humidity deviation coefficient Yx according to the temperature and humidity data set. The gas leakage monitoring unit calculates and generates a gas pipeline combustible gas leakage index Mil and a gas pipeline non-combustible gas leakage index Mil1 according to the gas leakage data set, the gas meter data set and the temperature and humidity deviation coefficient Yx. The gas leakage monitoring unit calculates and generates a detection instrument failure rate Er according to the gas leakage data set and the gas meter data set. The data processing module is connected to the prediction module through a network;

[0037] The prediction module performs regular maintenance on the detection instrument according to the classification of the combustible gas leakage index Mil of the gas pipeline, the non-combustible gas leakage index Mil1 of the gas pipeline and the failure rate Er of the detection instrument. Through the classification, the prediction module can determine the maintenance priority of the detection instrument to ensure that key equipment is maintained in a timely manner, thereby reducing false alarms or missed alarms caused by equipment failures. The prediction module is connected to the alarm module through the network. Through the network connection, the prediction module can transmit data to the alarm module in real time to ensure that it can respond quickly when potential risks are detected;

[0038] The alarm module determines the leakage location based on the exceeding range of the combustible gas leakage index Mil of the gas pipeline and the non-combustible gas leakage index Mil1 of the gas pipeline, and activates the beeping device at the leakage location. Once the exceeding range is detected, the system will automatically trigger the beeping device, reducing the time delay of manual intervention.

[0039] The gas leakage unit numbers the combustible gas leakage data set and the non-combustible gas leakage data set according to the characteristics of the gas leakage data set. The combustible gas leakage data set is numbered as Iy1, Iy2, Iy3, ... Iy n , the non-combustible gas leakage data sets are numbered Ix1, Ix2, Ix3, ...Ix n .

[0040] The gas meter unit numbers the normal gas data set, the faulty gas data set and the gas meter fault status set according to the characteristics of the gas meter data set. The normal gas data set is numbered as Qa1, Qa2, Qa3, ... Qa n , the faulty gas data sets are numbered Qb1, Qb2, Qb3, ... Qb n The gas meter fault state set number is Qc1, Qc2, Qc3, ... Qc n .

[0041] The temperature and humidity sensor unit numbers the actual humidity, actual temperature, specified humidity and specified temperature according to the characteristics of the temperature and humidity data set, wherein the actual humidity is numbered W, the actual temperature is numbered T, the specified humidity is numbered W1, and the specified temperature is numbered T1.

[0042] The temperature and humidity deviation coefficient Yx is calculated based on the temperature and humidity data set, and its calculation formula is:

[0043]

[0044] In the formula, Yx represents the temperature and humidity deviation coefficient, W represents the actual humidity, T represents the actual temperature, W1 represents the specified humidity, and T1 represents the specified temperature. and & respectively represent humidity and temperature in The temperature and humidity deviation coefficient affects the gas leakage index of the gas pipeline.

[0045] The combustible gas leakage index Mil of the gas pipeline is calculated based on the gas leakage data set, the gas instrument data set and the temperature and humidity deviation coefficient Yx. The calculation formula is:

[0046]

[0047] In the formula, Mil represents the combustible gas leakage index of the gas pipeline, Yx represents the temperature and humidity deviation coefficient, Iy1, Iy2, Iy3, ... Iy n Represents the combustible gas leakage data set, Qb1, Qb2, Qb3, ... Qb n Represents the faulty gas data set, Qc1, Qc2, Qc3, ...Qc nRepresents the gas meter fault state set, n represents the statistical time period, real-time monitoring of combustible gas leakage in the gas pipeline to prevent the occurrence of safety accidents such as fire and explosion. By calculating the leakage index, the current gas pipeline safety risk level is evaluated to determine whether there is a situation that exceeds the safety threshold, providing data support for risk management. According to the changing trend and data of the leakage index, it is decided whether the gas pipeline needs to be inspected, repaired or replaced to maintain the integrity and safety of the pipeline system.

[0048] The non-combustible gas leakage index Mil1 of the gas pipeline is calculated based on the gas leakage data set, the gas instrument data set and the temperature and humidity deviation coefficient Yx. The calculation formula is:

[0049]

[0050] In the formula, Mil1 represents the non-combustible gas leakage index of the gas pipeline, Yx represents the temperature and humidity deviation coefficient, Ix1, Ix2, Ix3, ...Ix n Represents the non-combustible gas leakage data set, Qb1, Qb2, Qb3, ... Qb n Represents the faulty gas data set, Qc1, Qc2, Qc3, ...Qc n Represents the gas meter fault state set, n represents the statistical time period, monitors the leakage of non-combustible gases to prevent non-combustible gases such as nitrogen and carbon dioxide from causing harm to the human body or the environment at a certain concentration, evaluates the safety risk of the gas pipeline by calculating the leakage index, determines whether there is potential danger, and takes corresponding preventive measures. According to the leakage index data, the maintenance and repair needs of the pipeline are judged, and maintenance work is arranged to ensure the integrity and safety of the gas transmission system.

[0051] The detection instrument failure rate Er is calculated based on the gas leakage data set and the gas meter data set. The calculation formula is:

[0052]

[0053] In the formula, Er represents the failure rate of the detection instrument, Iy1, Iy2, Iy3, ... Iy n Represents the combustible gas leakage data set, Ix1, Ix2, Ix3, ...Ix n Represents the non-combustible gas leakage data set, Qa1, Qa2, Qa3, ... Qa n Represents a normal gas data set, Qb1, Qb2, Qb3, ...Qb n Represents the faulty gas data set, Qc1, Qc2, Qc3, ...Qc nrepresents the gas meter fault state set, n represents the statistical time period, and by analyzing the failure rate data, the maintenance requirements and frequency of the detection instrument can be determined, so as to formulate a reasonable maintenance plan.

[0054] When the combustible gas leakage index Mil of the gas pipeline is greater than 0.01 and the non-combustible gas leakage index Mil1 of the gas pipeline is greater than 0.5, the prediction module starts the full pipeline self-inspection mode. When the combustible gas leakage index Mil of the gas pipeline is greater than 0.05 and the non-combustible gas leakage index Mil1 of the gas pipeline is greater than 0.6, the prediction module starts the full pipeline self-inspection mode and starts the troubleshooting mode at the same time. The prediction module transmits the self-inspection information to the early warning module through the network. The early warning module triggers the beeping device according to the exceeding range and calls relevant personnel to repair the leaking pipeline. Through real-time monitoring and intelligent analysis, the gas safety system can effectively prevent and respond to gas leakage accidents to ensure family and public safety.

[0055] When the failure rate of the detection instrument Er<0.9, the prediction module performs a self-check on the detection instrument. If the failure rate of the detection instrument Er>0.9, the prediction module performs a self-check on the detection instrument and triggers the alarm module to sound an alarm, prompting maintenance personnel to perform secondary maintenance on the detection instrument. Through real-time monitoring and intelligent early warning of the detection instrument, the gas safety system can promptly detect potential problems and take corresponding measures to ensure family and public safety.

[0056] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A gas leak prediction system based on indoor safety, characterized in that: It includes data acquisition module, data processing module, prediction module and alarm module; The data acquisition module includes a gas leakage unit, a gas meter unit and a temperature and humidity sensor unit; the gas leakage unit is connected to the gas leakage monitoring device through the network to collect the gas leakage data set, and transmits it to the data processing module after numbering, the gas meter unit is connected to the gas pipeline monitoring camera through the network to collect the gas meter data set, and transmits it to the data processing module after numbering, the temperature and humidity sensor unit is connected to the temperature and humidity sensor through the network to collect the temperature and humidity data set, and transmits it to the data processing module after numbering, and the data acquisition module is connected to the data processing module through the network; The data processing module includes a temperature and humidity sensor monitoring unit and a gas leakage monitoring unit. The temperature and humidity sensor monitoring unit calculates and generates a temperature and humidity deviation coefficient based on the temperature and humidity data set. The gas leakage monitoring unit is based on the gas leakage data set, the gas meter data set and the temperature and humidity deviation coefficient Calculate the combustible gas leakage index of gas pipeline Non-combustible gas leakage index of gas pipeline The gas leakage monitoring unit calculates and generates the detection instrument failure rate according to the gas leakage data set and the gas meter data set. , the data processing module is connected to the prediction module through a network; The prediction module is based on the combustible gas leakage index of the gas pipeline , Gas pipeline non-combustible gas leakage index Failure rate of testing equipment The detection equipment is regularly maintained according to the grade classification, and the prediction module is connected with the alarm module through the network; The alarm module is based on the combustible gas leakage index of the gas pipeline Non-combustible gas leakage index of gas pipeline The leak location is determined and the alarm device at the leak location is activated; The gas leakage unit numbers the combustible gas leakage data set and the non-combustible gas leakage data set according to the characteristics of the gas leakage data set, wherein the combustible gas leakage data set is numbered as , , ,… , the non-combustible gas leakage data set number is , , ,… ; The gas meter unit numbers the normal gas data set, the faulty gas data set and the gas meter fault status set according to the characteristics of the gas meter data set, wherein the normal gas data set is numbered as , , ,… , the fault gas data set number is , , ,… , the gas meter fault status set number is , , ,… ; The temperature and humidity sensor unit numbers the actual humidity, actual temperature, specified humidity and specified temperature according to the characteristics of the temperature and humidity data set, where the actual humidity number is , the actual temperature number is , humidity code is specified as , the specified temperature number is ; The temperature and humidity deviation coefficient Calculated based on the temperature and humidity data set, the calculation formula is: In the formula, represents the temperature and humidity deviation coefficient, Indicates the actual humidity. Indicates the actual temperature, Indicates the specified humidity, Indicates the specified temperature, and Respectively represent humidity and temperature in The weight of the The combustible gas leakage index of the gas pipeline Based on the gas leakage data set, gas meter data set and temperature and humidity deviation coefficient The calculation formula is: In the formula, Indicates the combustible gas leakage index of the gas pipeline. represents the temperature and humidity deviation coefficient, , , ,… represents the combustible gas leakage dataset, , , ,… represents the faulty gas dataset, , , ,… Indicates the gas meter fault status set, Indicates the statistical time period; The non-combustible gas leakage index of the gas pipeline Based on the gas leakage data set, gas meter data set and temperature and humidity deviation coefficient The calculation formula is: in the formula, in the formula, Indicates the non-combustible gas leakage index of the gas pipeline. represents the temperature and humidity deviation coefficient, , , ,… represents the non-combustible gas leakage dataset, , , ,… represents the faulty gas dataset, , , ,… Indicates the gas meter fault status set, Indicates the statistical time period; The failure rate of the detection instrument It is calculated based on the gas leakage data set and the gas meter data set. The calculation formula is: In the formula, Indicates the failure rate of the detection instrument, , , ,… represents the combustible gas leakage dataset, , , ,… represents the non-combustible gas leakage dataset, , , ,… represents a normal gas data set, , , ,… represents the faulty gas dataset, , , ,… Indicates the gas meter fault status set, Indicates the statistical time period.

2. A gas leak prediction system based on indoor safety according to claim 1, characterized in that: The combustible gas leakage index of the gas pipeline >0.01, the non-combustible gas leakage index of the gas pipeline >0.5, the prediction module starts the full pipeline self-check mode, and the combustible gas leakage index of the gas pipeline >0.05, the non-combustible gas leakage index of the gas pipeline >0.6, the prediction module starts the full pipeline self-inspection mode and the troubleshooting mode at the same time. The prediction module transmits the self-inspection information to the early warning module through the network. The early warning module triggers the beeping device according to the exceeding range and calls relevant personnel to repair the leaking pipeline.

3. A gas leak prediction system based on indoor safety according to claim 1, characterized in that: The failure rate of the detection instrument <0.9, the prediction module performs a self-check on the detection instrument. If the failure rate of the detection instrument >0.9, the prediction module performs a self-check on the detection instrument and triggers the alarm module to sound an alarm, prompting the maintenance personnel to perform secondary maintenance on the detection instrument.

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